Today's software systems for medical visualization still suffer from a shortage of practical applications due to their lack of usability with respect to a large variety of users with different computer-skills and ...
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Today's software systems for medical visualization still suffer from a shortage of practical applications due to their lack of usability with respect to a large variety of users with different computer-skills and experiences. Furthermore, progress is often hampered by the lack of adequate software tools that allow research ideas to be rapidly accomplished, evaluated, and brought into routine. We developed an integrated software environment that is distinct because it, on the one hand, provides an application-builder toolbox for medical diagnosis and therapy. And, on the other hand, it allows for the development, integration, and user-centered evaluation of existing and new interaction techniques in 2-D, 3-D, and Virtual Reality (VR). The environment's interaction support is based on communicating application objects that employ a sophisticated message-based inter-object communication. In addition, the system contains a component for user-adapted interaction and system support. The system has been used for several clinical applications which are briefly described at the end of this paper. Copyright (C) 1996 Elsevier science Ltd.
We propose a method for urban 3D reconstruction that is a hybrid between a volumetric 3D reconstruction approach and a plane fitting approach in order to obtain a denoised and compact representation of the scene. In o...
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We perform a user study involving different classes of pre-recorded human motions displayed in abstract form either as stick figures or as point lights. Collecting data on more than 1000 user votes of various triples ...
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In this paper we suggest an extension to the Industry Foundation Classes model to integrate point cloud datasets. The proposal includes a schema extension to the core model allowing the storage of points either as Car...
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In this paper we suggest an extension to the Industry Foundation Classes model to integrate point cloud datasets. The proposal includes a schema extension to the core model allowing the storage of points either as Cartesian coordinates, points in parametric space of a surface associated with a building element or as discrete height fields projected as grids onto (building element) surfaces. To handle considerable amounts of data, we further suggest to employ the Hierarchical Data Format (HDF) as an efficient serialization format as an additional alternative to clear text encoded ISO 10303 part 21 files. Based on prototypical implementations we show early results of population files and discuss potential benefits of dedicated compression algorithms.
Point-based geometry representations have become widely used in numerous contexts,ranging from particle-based simulations,over stereo image matching,to depth sensing via light detection and *** application focus is on...
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Point-based geometry representations have become widely used in numerous contexts,ranging from particle-based simulations,over stereo image matching,to depth sensing via light detection and *** application focus is on the reconstruction of curved line structures in noisy 3D point cloud *** algorithms operating on such point clouds often rely on the notion of a local *** the latter,our approach employs multi-scale neighborhoods,for which weighted covariance measures of local points are *** line structures are reconstructed via vector field tracing,using a bidirectional piecewise streamline *** also introduce an automatic selection of optimal starting points via multi-scale geometric *** pipeline development and choice of parameters was driven by an extensive,automated initial analysis process on over a million prototype test *** behavior of our approach is controlled by several parameters—the majority being set automatically,leaving only three to be controlled by a *** an extensive,automated final evaluation,we cover over one hundred thousand parameter sets,including 3D test geometries with varying curvature,sharp corners,intersections,data holes,and systematically applied varying types of ***,we analyzed different choices for the point of reference in the co-variance computation;using a weighted mean performed best in most *** addition,we compared our method to current,publicly available line reconstruction *** to thirty times faster execution times were achieved in some cases,at comparable error ***,we also demonstrate an exemplary application on four real-world 3D light detection and ranging datasets,extracting power line cables.
Fast searching of content in large motion databases is essential for efficient motion analysis and synthesis. In this work we demonstrate that identifying locally similar regions in human motion data can be practical ...
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One of the main features of Event driven Process Chains (EPCs) is the non-local semantics of the OR-join and the XOR-join connectors. Simulating this non-local semantics faithfully and efficiently is still a challengi...
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One of the main features of Event driven Process Chains (EPCs) is the non-local semantics of the OR-join and the XOR-join connectors. Simulating this non-local semantics faithfully and efficiently is still a challenging problem. A year ago, we have shown that the semantics of moderately sized EPCs can be calculated in reasonable time by using techniques from symbolic model checking. For larger EPCs, however, this method still takes too long for practical use. In this paper, we introduce and discuss a new technique for calculating the semantics of EPCs: We combine an explicitly forward construction of the transition system with a backward marking algorithm for checking the non-local constraints. Though this method does not always provide a result, it works for most practical examples and, in most cases, it is much faster than the symbolic algorithm. Basically, the computation time is linear in the size of the resulting transition system. The algorithm works for large EPCs as long as the resulting transition systems are small (where transition systems with millions of states and transitions are still considered to be small), which is true for many practical EPCs.
Grasping individual objects from an unordered pile in a box has been investigated in static scenarios so far. In this paper, we demonstrate bin picking with an anthropomorphic mobile robot. To this end, we extend glob...
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ISBN:
(纸本)9781467356404
Grasping individual objects from an unordered pile in a box has been investigated in static scenarios so far. In this paper, we demonstrate bin picking with an anthropomorphic mobile robot. To this end, we extend global navigation techniques by precise local alignment with a transport box. Objects are detected in range images using a shape primitive-based approach. Our approach learns object models from single scans and employs active perception to cope with severe occlusions. Grasps and arm motions are planned in an efficient local multiresolution height map. All components are integrated and evaluated in a bin picking and part delivery task.
In this paper we have presented a method for musical genre classification using neural networks. We have used two algorithms (CNN and PRCNN) and two graphical representations: chromograms and spectrograms. We have use...
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This paper describes the parallelization of Multigrid Programs with SUPERB. SUPERB is an interactive SIMD/MIMD parallelizing system for the SUPRENUM machine. We present multigrid oriented features of our data partitio...
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